activity
20182022
most citedParsimonious Bayesian Factor Analysis for modelling latent structures in spectroscopy data

1 citations · 1 across the 2 of their papers we have counts for

collaborators

6 papers

q-bio.QM2022

Classification of cow diet based on milk mid infrared spectra: a data analysis competition at the "International workshop of spectroscopy and chemometrics 2022"

Maria Frizzarin, Giulio Visentin, Alessandro Ferragina +14

In April 2022, the Vistamilk SFI Research Centre organized the second edition of the "International Workshop on Spectroscopy and Chemometrics - Applications in Food and Agriculture…

stat.ME2021

Co-clustering of time-dependent data via Shape Invariant Model

Alessandro Casa, Charles Bouveyron, Elena Erosheva +1

Multivariate time-dependent data, where multiple features are observed over time for a set of individuals, are increasingly widespread in many application domains. To model these d…

stat.ME20211 cited

Parsimonious Bayesian Factor Analysis for modelling latent structures in spectroscopy data

Alessandro Casa, Tom F. O'Callaghan, Thomas Brendan Murphy

In recent years animal diet has been receiving increased attention, in particular examining the impact of pasture-based feeding strategies on the quality of milk and dairy products…

stat.ME2019

Better than the best? Answers via model ensemble in density-based clustering

Alessandro Casa, Luca Scrucca, Giovanna Menardi

With the recent growth in data availability and complexity, and the associated outburst of elaborate modelling approaches, model selection tools have become a lifeline, providing o…

stat.ME2019

Modal clustering asymptotics with applications to bandwidth selection

Alessandro Casa, José E. Chacón, Giovanna Menardi

Density-based clustering relies on the idea of linking groups to some specific features of the probability distribution underlying the data. The reference to a true, yet unknown, p…

stat.AP2018

Nonparametric semisupervised classification for signal detection in high energy physics

Alessandro Casa, Giovanna Menardi

Model-independent searches in particle physics aim at completing our knowledge of the universe by looking for new possible particles not predicted by the current theories. Such par…